World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
62
Citations
15595
World Ranking
476
National Ranking
248

Lajos Horváth publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Lajos Horváth sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 327 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Lajos Horváth D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Lajos Horváth sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 62 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Lajos Horváth is affiliated with the University of Utah in the United States. Their research primarily spans fields related to economics, econometrics, finance, and mathematics, with a notable focus on statistical methods and applications in financial and economic contexts.

Their research covers a broad range of topics including:

  • Financial Risk and Volatility Modeling
  • Statistical Methods and Inference
  • Market Dynamics and Volatility
  • Monetary Policy and Economic Impact
  • Complex Systems and Time Series Analysis
  • Housing Market and Economics
  • Stochastic Processes and Financial Applications

The main fields of publication for Horváth are:

  • Economics, Econometrics and Finance
  • Mathematics

Within subfields, the research work includes:

  • Statistics and Probability
  • Finance
  • Economics and Econometrics
  • General Economics, Econometrics and Finance
  • Artificial Intelligence

Frequent publication venues where Horváth's work appears include:

  • arXiv (Cornell University)
  • Journal of Business and Economic Statistics
  • SSRN Electronic Journal
  • Journal of Multivariate Analysis
  • Journal of Time Series Analysis

Several recent papers illustrate Horváth's research agenda:

  • Monitoring for a Change Point in a Sequence of Distributions, 2021, The Annals of Statistics
  • Change Point Analysis of Covariance Functions: A Weighted Cumulative Sum Approach, 2021, Journal of Multivariate Analysis
  • Sequential Monitoring of Changes in Dynamic Linear Models, Applied to the U.S. Housing Market, 2021, Econometric Theory
  • How to Identify the Different Phases of Stock Market Bubbles Statistically?, 2021, Finance Research Letters

Other recent work by coauthors in related areas includes a 2020 paper titled Tests of Normality of Functional Data published in International Statistical Review.

Horváth has collaborated frequently with several researchers, including:

  • Gregory Rice
  • Lorenzo Trapani
  • Shixuan Wang
  • Zhenya Liu
  • Piotr Kokoszka

In addition to journal articles, Horváth has published a book titled Change Point Analysis for Time Series in 2024 with Springer Science+Business Media, which has been cited in related academic work.

Best Publications

  • Limit theorems in change-point analysis

    M. Csörgö;Lajos Horváth

  • Inference for Functional Data with Applications

    Lajos Horváth;Piotr Kokoszka

  • Structural breaks in time series

    Alexander Aue;Lajos Horváth

  • Break detection in the covariance structure of multivariate time series models

    Alexander Aue;Siegfried Hörmann;Lajos Horváth;Matthew Reimherr

  • Weighted Approximations in Probability and Statistics

    Lajos Horváth;M. Csörgö

  • Invasion by extremes: population spread with variation in dispersal and reproduction.

    James S. Clark;Mark A. Lewis;Lajos Horvath

  • Weighted Empirical and Quantile Processes

    Miklos Csorgo;Sandor Csorgo;Lajos Horvath;David M. Mason

  • Monitoring changes in linear models

    Lajos Horváth;Marie Hušková;Piotr Kokoszka;Josef Steinebach

  • Testing stationarity of functional time series

    Lajos Horváth;Piotr Kokoszka;Gregory Rice

  • The efficiency of the estimators of the parameters in GARCH processes

    István Berkes;Lajos Horváth

  • The Maximum Likelihood Method for Testing Changes in the Parameters of Normal Observations

    Lajos Horvath

  • Detecting changes in the mean of functional observations

    István Berkes;Robertas Gabrys;Lajos Horváth;Piotr Kokoszka

  • Estimation of the mean of functional time series and a two-sample problem

    Lajos Horváth;Piotr Kokoszka;Ron Reeder

  • Change-point detection in panel data

    Lajos Horváth;Marie Hušková

  • On discriminating between long-range dependence and changes in mean

    István Berkes;Lajos Horváth;Piotr Kokoszka;Qi-Man Shao

  • SEQUENTIAL CHANGE-POINT DETECTION IN GARCH(p,q) MODELS

    István Berkes;Edit Gombay;Lajos Horváth;Piotr Kokoszka

  • Strong Approximations of Some Biometric Estimates under Random Censorship

    Murray D. Burke;Sándor Csörgő;Lajos Horváth

  • The rate of strong uniform consistency for the product-limit estimator

    Sándor CsörgŐ;Lajos Horváth

  • Extensions of some classical methods in change point analysis

    Lajos Horváth;Gregory Rice

  • 20 Nonparametric methods for changepoint problems

    Miklós Csörgő;Lajos Horváth

Frequent Co-Authors

Piotr Kokoszka
Piotr Kokoszka Colorado State University
Qi-Man Shao
Qi-Man Shao Chinese University of Hong Kong
Jean-Michel Zakoian
Jean-Michel Zakoian École Nationale de la Statistique et de l'Administration Économique
Ričardas Zitikis
Ričardas Zitikis University of Western Ontario
Brian S. Yandell
Brian S. Yandell University of Wisconsin–Madison
Paul Deheuvels
Paul Deheuvels Sorbonne University
Shiqing Ling
Shiqing Ling Hong Kong University of Science and Technology
Davar Khoshnevisan
Davar Khoshnevisan University of Utah
David M. Mason
David M. Mason University of Delaware
Jan Beirlant
Jan Beirlant KU Leuven

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